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Data Engineer Jobs in Poughkeepsie, NY (NOW HIRING)

IT Director(Data)

Poughkeepsie, NY · On-site

$160K - $250K/yr

Define and drive the organization's data strategy, aligning governance, engineering, and analytics priorities with broader business goals. * Lead and develop teams responsible for data management ...

Knowledge Modeler / Ontologist Manager

Carmel, NY · On-site

$55.25 - $71.50/hr

By combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business ...

Data Modeler - Long term contract

Somers, NY · On-site

$57.25 - $74.25/hr

... Engineering Services, Enterprise Mobility, Test Automation, QA - Manual and Automated Testing, QA ... Founded 1996 Location - Somers, NY / Plano, TX Data Modeler Role supports data modeling needs for ...

Project Manager - Data Centers

Poughkeepsie, NY

$51.25 - $69.25/hr

Bachelor's degree in Architecture, Civil Engineering, Electrical Engineering, Mechanical ... Working knowledge of data center operations, industry standards, and technologies in facilities ...

Lifecycle Management of Design Data (15%) Create, review, and update engineering drawings, CAD models, and ECNs. Oversee database management to ensure all design data is accurate, organized, and ...

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Data Engineer information

See Poughkeepsie, NY salary details

$44K

$128.2K

$175.4K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Poughkeepsie, NY is $128,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Poughkeepsie, NY? The most popular types of Data Engineer jobs in Poughkeepsie, NY are:
What are popular job titles related to Data Engineer jobs in Poughkeepsie, NY? For Data Engineer jobs in Poughkeepsie, NY, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Poughkeepsie, NY look for? The top searched job categories for Data Engineer jobs in Poughkeepsie, NY are:
What cities near Poughkeepsie, NY are hiring for Data Engineer jobs? Cities near Poughkeepsie, NY with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Poughkeepsie, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,158 per year, or $61.6 per hour.

Senior Data Engineer

Hudson Valley Credit Union

Poughkeepsie, NY • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Hudson Valley Credit Union rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Overview

Hudson Valley Credit Union is currently recruiting for the position of Senior Data Engineer. Primary Functions: Design, build, and optimize our data infrastructure, leveraging the power and scalability of Databricks within our Azure environment. Maintain a deep expertise in Databricks and its ecosystem in order to build high-performance data pipelines, ensure data quality, and enable advanced analytics and machine learning initiatives.


Responsibilities
  • Design, develop, and maintain robust and scalable data pipelines primarily using Databricks, leveraging Spark (PySpark or Scala), Delta Lake, and Databricks Workflows
  • Build and optimize data lakehouse solutions on Azure Data Lake Storage Gen2 integrated with Databricks
  • Implement and enforce data quality frameworks and data governance policies within Databricks using tools and features like Delta Lake's ACID properties and data validation techniques
  • Identify and resolve performance bottlenecks in Databricks-based data pipelines and Spark applications
  • Collaborate closely with analysts to understand their data requirements for advanced analytics, providing them with curated and performant datasets within Databricks
  • Automate data ingestion, transformation, and deployment processes, potentially integrating with CI/CD tools and Databricks MLOps
  • Provide technical leadership and mentorship to junior data engineers on Databricks best practices and performance tuning
  • Document Databricks notebooks, data pipelines, data models, and configurations
  • Ensure data security and compliance within the Databricks environment, adhering to relevant security standards and best practices
  • Troubleshoot and resolve complex data-related issues within the Databricks ecosystem
  • Work independently and contribute to immediate and cross-functional teams
  • Participate in design discussions
  • Analyze problem statements, break down problems, and provide solutions
  • Follow an agile-based approach to deliver data products
  • Take ownership of large tasks, delivering on time, and mentoring team members
  • Oversee the maintenance and enforcement of SDLC and ITSM processes, change management procedures, departmental standards, style requirements and all other procedures necessary for data and system integrity
  • Adhere to all Credit Union policies, procedures, and regulatory agency requirements. Participate in all required and recommended training and development including, but not limited to, Bank Secrecy Act training (BSA) and demonstrate attained knowledge. Participate on Credit Union teams, projects and strategic initiatives when the opportunity arises. Perform additional duties and special projects as assigned.
  • Embrace and apply HVCU’s guiding principles to all activities and responsibilities. This includes the Credit Union’s Mission, Vision, Core Values, Employee and Member Value Propositions, Sales and Service Model, and commitment to Lean Six Sigma practices. Support the Credit Union’s initiatives by demonstrating teamwork and professionalism.
  • Responsible for regular and predictable attendance including punctuality.

Qualifications
  • Bachelor’s Degree or equivalent in Computer Science or related field required.
  • Master's Degree or equivalent in Computer Science or related field preferred.
  • License/Certification Databrick Data Engineer Associate required.
  • License/Certification Databrick Data Engineer Professional preferred.
  • License/Certification Mircrosoft Azure Data Engineer preferred.
  • Minimum 5 years of experience as Data Engineer required.
  • Minimum 5 years of experience Data Wharehousing, Data Lakes and big date platforms required. 
  • Minimum 5 years Python experience required. 
  • Minimum 3 years Databricks experience required.

Click here to view full job description


Why Choose HVCU?

Join a team where your growth matters. At Hudson Valley Credit Union, we offer a supportive, community-focused culture, competitive benefits, and opportunities to grow your career while making a meaningful impact. Come be part of a Great Place to Work!  

Employee Perks: 

  • Base & Variable Pay Structures 
  • Paid Personal, Holiday & Volunteer Time Off 
  • Professional Development & Training 
  • Student Loan Repayment & Tuition Reimbursement Programs 
  • Medical, Dental & Vision Coverage 
  • 401(k) With Employer Match & Non-Elective Employer Contribution 
  • Life, Short-term & Long-term Disability Insurances 
  • Discounted Loan Rates & Fees 

Hudson Valley Federal Credit Union is an AA/EEO employer committed to equal opportunity and employee diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, military or veteran status, genetic information, marital or familial status, domestic violence victim status, or any other characteristic protected by law. 

Qualifications:
  • Bachelor’s Degree or equivalent in Computer Science or related field required.
  • Master's Degree or equivalent in Computer Science or related field preferred.
  • License/Certification Databrick Data Engineer Associate required.
  • License/Certification Databrick Data Engineer Professional preferred.
  • License/Certification Mircrosoft Azure Data Engineer preferred.
  • Minimum 5 years of experience as Data Engineer required.
  • Minimum 5 years of experience Data Wharehousing, Data Lakes and big date platforms required. 
  • Minimum 5 years Python experience required. 
  • Minimum 3 years Databricks experience required.

Click here to view full job description

Education:UNAVAILABLEEmployment Type: FULL_TIME

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